Essayer le nouveau site
Login

Islanders
GP: 6 | W: 2 | L: 4
GF: 15 | GA: 20 | PP%: 11.76% | PK%: 69.23%
GM : Simon Godin | Morale : 45 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Wolf Pack
15-8-0, 30pts
2
FINAL
4 Islanders
2-4-0, 4pts
Team Stats
W1StreakL1
9-2-0Home Record1-2-0
6-6-0Home Record1-2-0
6-3-1Last 10 Games2-3-1
3.09Goals Per Game2.50
2.70Goals Against Per Game3.33
22.67%Power Play Percentage11.76%
88.14%Penalty Kill Percentage69.23%
Islanders
2-4-0, 4pts
0
FINAL
4 Wolf Pack
15-8-0, 30pts
Team Stats
L1StreakW1
1-2-0Home Record9-2-0
1-2-0Home Record6-6-0
2-3-1Last 10 Games6-3-1
2.50Goals Per Game3.09
3.33Goals Against Per Game2.70
11.76%Power Play Percentage22.67%
69.23%Penalty Kill Percentage88.14%
Team Leaders
Goals
Shane Bowers
3
Assists
Mikhail Maltsev
3
Points
Shane Bowers
5
Plus/Minus
Ben Meyers
2
Wins
Thomas McCollum
2
Save Percentage
Thomas McCollum
0.886

Team Stats
Goals For
15
2.50 GFG
Shots For
201
33.50 Avg
Power Play Percentage
11.8%
2 GF
Offensive Zone Start
41.4%
Goals Against
20
3.33 GAA
Shots Against
175
29.17 Avg
Penalty Kill Percentage
69.2%%
4 GA
Defensive Zone Start
38.7%
Team Info

General ManagerSimon Godin
CoachDave Allison
DivisionDivision Atlantique
ConferenceConference 1
CaptainBrett Connolly
Assistant #1Joel Hanley
Assistant #2Kerby Rychel


Arena Info

Capacity3,000
Attendance2,810
Season Tickets300


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 56
Prospects22


Team History

This Season2-4
History49-24-8 (0.605%)
Playoff Appearances1
Playoff Record (W-L)4 - 8 (0.333%)
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Brett Connolly (C)XX100.0066456672737072736372667365817647796603211,250,000$
2Kerby Rychel (A)XX100.0075527671737478686069736764705951846603011,500,000$
3Mikhail MaltsevXX100.0065458775747480736870746968565266896602721,700,000$
4Joel KivirantaXX100.0072478974677284706370687162635058766502911,100,000$
5Josh Ho-SangXX100.006045887267766871627165656068545484640291900,000$
6Joel TeasdaleXX100.006445907271727268687070656549486086640262750,000$
7Shane BowersX100.007245867269727266716667745449476088630252750,000$
8Ben Meyers (R)X100.007045897769707369616865695950456063630261900,000$
9Adam MusilXXX100.007047787273647371756466745555486086630282900,000$
10Chase Wouters (R)X100.006845757268707069706665725945457054620253750,000$
11Anton LanderX100.006345967070686768656564686261484221620332800,000$
12Linus WeissbachXX100.006845787264686867616765696249476055610261750,000$
13Joel Hanley (A)X100.0065458873707476724570677362645145576603311,320,000$
14Nikita NesterovX100.0064538668707374744574627064725750806503211,200,000$
15Kevin ConnautonX100.0063459771736969694565667064685338866403521,200,000$
16Ryan StantonX100.006346957073808069456665696357473884640351900,000$
17Brady LyleX100.006852787273717168456564695849466076630252750,000$
18Brandon ManningX100.006348927072687069456665696363494276630342900,000$
Scratches
1Christopher WilkieX100.0064457972697274737570697562555057766402821,100,000$
2Matt MoulsonXX100.0056379664706971656365656665848311586304111,250,000$
3Andrei KuzmenkoXX100.005845857270676266606664626349485720610292800,000$
4Connor BunnamanXX100.006745867271697165675960685555476019610261900,000$
5Radovan BondraXX100.007052687075646866686465636049465720610281600,000$
6Gavin BayreutherX100.006044946971687169456763716157475356630302900,000$
7Kelly SummersX100.005745827270725965456362685950495719610282700,000$
8Griffin LuceX100.007450767273696659456358695747476022610271750,000$
TEAM AVERAGE100.00664685717171726959676669615852536263
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Thomas McCollum100.007579788177818380838380485338846503511,100,000$
2David Rittich100.00695050817074827879827669615074630322900,000$
Scratches
1Callum Booth100.00798367807669836969777645475035600271750,000$
TEAM AVERAGE100.0074716581747583767781775454466463
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Allison99858079999936CAN644100,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Shane BowersIslanders (NYI)C6325-400715184616.67%111619.350113141011111041.01%13900000.8600000010
2Rem PitlickIslandersC613410085254154.00%211018.38011213000000057.55%13900000.7300000000
3Joel TeasdaleIslanders (NYI)LW/RW61230004192811.11%110918.23011113000000075.00%400000.5500000000
4Joel HanleyIslanders (NYI)D6123-2006840625.00%412721.3200008000012000%000000.4700000010
5Joel KivirantaIslanders (NYI)LW/RW61230606520685.00%210617.76000413000000066.67%1200000.5600000000
6Mikhail MaltsevIslanders (NYI)LW/RW6033-50013237140%110717.93011414000000056.25%1600000.5600000000
7Ryan StantonIslanders (NYI)D6213-1201582225.00%812420.77202415000011000%000000.4800000000
8Kevin ConnautonIslanders (NYI)D6022020567150%612921.66000412000010000%000000.3100000000
9Chase WoutersIslanders (NYI)C5022220156000%1377.5100000011180047.37%5700001.0700000010
10Ben MeyersIslanders (NYI)LW62022000154440.00%1325.410000000000000%100001.2300000100
11Brett ConnollyIslanders (NYI)LW/RW6202-24097125716.67%110517.54000010000100163.64%1100000.3800000002
12Kerby RychelIslanders (NYI)LW/RW6112-40056140167.14%010617.76000114000010038.46%1300000.3800000010
13Nikita NesterovIslanders (NYI)D602229512214150%312020.0800081300000000%000000.3300100000
14Brandon ManningIslanders (NYI)D4022-100032020%37619.230000000007000%000000.5200000000
15Adam MusilIslanders (NYI)C/LW/RW6022-2409693160%410317.19000000000100057.25%13100000.3900000000
16Josh Ho-SangIslanders (NYI)LW/RW6101-2006715586.67%19415.7400001000001025.00%400000.2100000100
17Brady LyleIslanders (NYI)D6011-120623310%410818.070002600004000%000000.1800000000
18Anton LanderIslanders (NYI)C1000000000000%011.3700000000010050.00%40000000000000
19Gavin BayreutherIslanders (NYI)D2000-100003000%33015.260001200001000%00000000000000
20Linus WeissbachIslanders (NYI)LW/RW5000200004110%0336.7500001000030042.86%70000000000000
Team Total or Average107152742-163158687201481247.46%46178316.67246341481122952151.49%53800000.4700100242
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Thomas McCollumIslanders (NYI)62310.8863.3336000201750000060000
Team Total or Average62310.8863.333600020175000060000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam MusilIslanders (NYI)C/LW/RW281997-03-26CANNo203 Lbs6 ft5NoNoN/ANoNo22024-05-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Andrei KuzmenkoIslanders (NYI)LW/RW291996-02-04RUSNo202 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Anton LanderIslanders (NYI)C331991-04-24SWENo191 Lbs5 ft11NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Link
Ben MeyersIslanders (NYI)LW261998-11-15USAYes194 Lbs5 ft11NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Brady LyleIslanders (NYI)D251999-06-06CANNo211 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Brandon ManningIslanders (NYI)D341990-06-04CANNo202 Lbs6 ft0NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Brett ConnollyIslanders (NYI)LW/RW321992-05-02CANNo198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Link
Callum BoothIslanders (NYI)G271997-05-21CANNo195 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Chase WoutersIslanders (NYI)C252000-02-08CANYes182 Lbs6 ft0NoNoProspectNoNo32024-07-28FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link
Christopher WilkieIslanders (NYI)C281996-07-10USANo190 Lbs6 ft0NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Link
Connor BunnamanIslanders (NYI)LW/RW261998-04-16CANNo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Link
David RittichIslanders (NYI)G321992-08-19CZENo205 Lbs6 ft4NoNoFree AgentNoNo22024-07-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Gavin BayreutherIslanders (NYI)D301994-05-12USANo196 Lbs6 ft1NoNoFree AgentNoNo22024-07-22FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Griffin LuceIslanders (NYI)D271998-03-10USANo216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Joel HanleyIslanders (NYI)D331991-06-08CANNo190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,320,000$0$0$No---------------------------Link
Joel KivirantaIslanders (NYI)LW/RW291996-03-26FINNo175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Joel TeasdaleIslanders (NYI)LW/RW261999-03-11CANNo212 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Josh Ho-SangIslanders (NYI)LW/RW291996-01-22CANNo173 Lbs6 ft0NoNoN/ANoNo12024-05-29FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Kelly SummersIslanders (NYI)D281996-04-29CANNo191 Lbs6 ft2NoNoN/ANoNo22024-05-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Link
Kerby RychelIslanders (NYI)LW/RW301994-10-07USANo213 Lbs6 ft1NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Link
Kevin ConnautonIslanders (NYI)D351990-02-23CANNo205 Lbs6 ft2NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Link
Linus WeissbachIslanders (NYI)LW/RW261998-04-19SWENo161 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Matt MoulsonIslanders (NYI)LW/RW411983-11-01CANNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$0$0$No---------------------------Link
Mikhail MaltsevIslanders (NYI)LW/RW271998-03-12RUSNo198 Lbs6 ft3NoNoN/ANoNo22024-05-29FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Link
Nikita NesterovIslanders (NYI)D321993-03-28RUSNo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Link
Radovan BondraIslanders (NYI)LW/RW281997-01-27SVKNo218 Lbs6 ft7NoNoN/ANoNo12024-05-29FalseFalsePro & Farm600,000$0$0$No---------------------------Link
Ryan StantonIslanders (NYI)D351989-07-20CANNo205 Lbs6 ft2NoNoFree AgentNoNo12024-07-28FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Shane BowersIslanders (NYI)C251999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Thomas McCollumIslanders (NYI)G351989-12-07USANo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2929.69198 Lbs6 ft11.52967,931$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel TeasdaleAnton LanderJoel Kiviranta30023
2Mikhail MaltsevShane BowersKerby Rychel30023
3Josh Ho-SangAdam MusilBrett Connolly30122
4Ben MeyersChase WoutersLinus Weissbach10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyBrandon Manning35032
2Kevin ConnautonNikita Nesterov35032
3Ryan StantonBrady Lyle20122
4Ryan StantonBrady Lyle10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joel TeasdaleAnton LanderJoel Kiviranta50005
2Mikhail MaltsevShane BowersKerby Rychel50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan StantonNikita Nesterov50014
2Kevin ConnautonBrady Lyle50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam MusilBrett Connolly50140
2Chase WoutersShane Bowers50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyRyan Stanton50140
2Brandon ManningKevin Connauton50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chase Wouters50050Joel HanleyRyan Stanton50050
2Adam Musil50050Brandon ManningKevin Connauton50050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chase WoutersBen Meyers50122
2Adam MusilJosh Ho-Sang50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan StantonBrady Lyle50122
2Kevin ConnautonNikita Nesterov50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Joel TeasdaleAnton LanderKerby RychelJoel HanleyNikita Nesterov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam MusilBen MeyersBrett ConnollyJoel HanleyKevin Connauton
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Meyers, Chase Wouters, Adam MusilLinus Weissbach, Brett ConnollyLinus Weissbach
Extra Defensemen
Normal PowerPlayPenalty Kill
Ryan Stanton, Brady Lyle, Kevin ConnautonJoel HanleyRyan Stanton, Brady Lyle
Penalty Shots
Adam Musil, Kerby Rychel, Brett Connolly, Mikhail Maltsev, Joel Teasdale
Goalie
#1 : Thomas McCollum, #2 : David Rittich


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Wolf Pack624000001520-53120000088031200000712-540.333152742004380201637761017546318617211.76%13469.23%110822348.43%11320854.33%5610752.34%14498137447940
Total624000001520-53120000088031200000712-540.333152742004380201637761017546318617211.76%13469.23%110822348.43%11320854.33%5610752.34%14498137447940
_Since Last GM Reset624000001520-53120000088031200000712-540.333152742004380201637761017546318617211.76%13469.23%110822348.43%11320854.33%5610752.34%14498137447940
_Vs Conference624000001520-53120000088031200000712-540.333152742004380201637761017546318617211.76%13469.23%110822348.43%11320854.33%5610752.34%14498137447940

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
64L115274220117546318600
All Games
GPWLOTWOTL SOWSOLGFGA
62400001520
Home Games
GPWLOTWOTL SOWSOLGFGA
312000088
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3120000712
Last 10 Games
WLOTWOTL SOWSOL
230100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17211.76%13469.23%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
63776104380
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
10822348.43%11320854.33%5610752.34%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
14498137447940


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2025-03-092Wolf Pack3Islanders2LBoxScore
2 - 2025-03-1010Wolf Pack3Islanders2LXBoxScore
3 - 2025-03-1118Islanders4Wolf Pack2WBoxScore
4 - 2025-03-1226Islanders3Wolf Pack6LBoxScore
5 - 2025-03-1334Wolf Pack2Islanders4WBoxScore
6 - 2025-03-1442Islanders0Wolf Pack4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance5,4293,000
Attendance PCT90.48%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 2810 - 93.66% 116,724$350,172$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,807,000$ 2,807,000$ 100,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$




Islanders Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Rem Pitlick782840687228617119514.36%17138017.69617233800004151.53%00.9900
2Melker Karlsson80293463-241715724112.03%18139717.46611175000003252.24%00.90210
3Kerby Rychel792726530791105818214.84%9133816.9456112000024245.63%00.7911
4Joel Teasdale82222951922825617912.29%11144117.58612183400004053.27%00.71213
5Joel Kiviranta822129507531057320010.50%12150618.3756113230381144.17%10.6600

Islanders Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Thomas McCollum68371260.9032.86329410015716120210.76534
2Nicola Riopel39121230.8923.45168821978950100.57114

Islanders Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
158240240237629026129412213021031431212241181100273147140710729051880811105869018246078584779780250872266112222555521.57%2465577.64%31411279950.41%1412284949.56%701139850.14%1966135419416161083539
Total Regular Season8240240237629026129412213021031431212241181100273147140710729051880811105869018246078584779780250872266112222555521.57%2465577.64%31411279950.41%1412284949.56%701139850.14%1966135419416161083539
Playoff
15624000001319-631200000610-43120000079-2413253801652016157446001794850921516.67%22481.82%19018448.91%10620352.22%489650.00%13591145457939
16624000001520-53120000088031200000712-54152742004380201637761017546318617211.76%13469.23%110822348.43%11320854.33%5610752.34%14498137447940
Total Playoff1248000002839-11624000001418-4624000001421-7828528001108100362120121121035494811783239.38%35877.14%219840748.65%21941153.28%10420351.23%2791902828915979

Islanders Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Shane Bowers11347-4216212412.50%119217.54011310131043.42%00.7300
2Rem Pitlick11246-101314355.71%418516.90022200000055.33%00.6500
3Nikita Nesterov12055211206180%723919.94000100000000%00.4200
4Joel Kiviranta12235-21096345.88%221017.51000600000058.82%00.4800
5Joel Teasdale12145-1477234.35%221017.58022400000063.64%00.4700

Islanders Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Thomas McCollum124620.8913.21674013633100000
2Nicola Riopel20000.8703.91460032300000